llvm-project/mlir/test/Dialect/Tensor/one-shot-bufferize-tensor-c...

19 lines
1.0 KiB
MLIR

// RUN: mlir-opt %s -test-tensor-copy-insertion -split-input-file | FileCheck %s
// RUN: mlir-opt %s -test-tensor-copy-insertion="bufferize-function-boundaries allow-return-allocs" -split-input-file | FileCheck %s --check-prefix=CHECK-FUNC
// CHECK-LABEL: func @extract_slice(
// CHECK-SAME: %[[t:.*]]: tensor<?xf32>
// CHECK-FUNC-LABEL: func @extract_slice(
func.func @extract_slice(%t: tensor<?xf32>, %idx: index, %f: f32)
-> (tensor<5xf32>, tensor<?xf32>)
{
// CHECK: %[[extract_slice:.*]] = tensor.extract_slice %[[t]][10] [5] [1]
%0 = tensor.extract_slice %t[10][5][1] : tensor<?xf32> to tensor<5xf32>
// CHECK: %[[alloc:.*]] = bufferization.alloc_tensor() copy(%[[extract_slice]]) {bufferization.escape = [false]} : tensor<5xf32>
// CHECK-FUNC: bufferization.alloc_tensor() copy(%{{.*}}) {bufferization.escape = [true]} : tensor<5xf32>
// CHECK: %[[insert:.*]] = tensor.insert %{{.*}} into %[[alloc]]
%1 = tensor.insert %f into %0[%idx] : tensor<5xf32>
// CHECK: return %[[insert]], %[[t]]
return %1, %t : tensor<5xf32>, tensor<?xf32>
}